Three full-length practice tests for the Oracle Agentic AI Foundations Associate (1Z0-1157-26) certification exam - 40 questions per test, 60 minutes, 65% to pass, unlimited retakes.
Every question is grounded in Oracle's official exam objectives and product documentation - written fresh for this course, not recycled from public dumps.
What you'll be tested on
- Core AI agent concepts: autonomy, the LLM-tools-orchestration loop, Chain-of-Thought and ReAct reasoning, and layered guardrails
- Building agents with LangChain and the LangChain Expression Language (LCEL)
- Model Context Protocol (MCP): hosts, clients, servers, and tool discovery
- The OpenAI Agents SDK and Responses API: multi-step logic, multi-agent handoffs, and tracing
- Building and deploying agents on the OCI Enterprise AI platform
- Agentic AI for Oracle AI Database: Select AI, Oracle AI Vector Search, Private Agent Factory, and the Autonomous AI Database MCP Server
Exam facts
| Exam code | 1Z0-1157-26 |
|---|---|
| Duration | 60 minutes |
| Number of questions | 40 |
| Passing score | 65% |
| Recertification | Cloud Recertification |
Exam domains and weights
Oracle lists six topic areas for this exam.
| Domain | Focus |
|---|---|
| Introduction to AI Agents | Agents versus chatbots and rule-based workflows, core agent components, Chain-of-Thought and ReAct reasoning, safety and guardrails. |
| LangChain for AI Agents | Core abstractions (chat models, prompts, tools, agents), building an agent, and the tool execution flow. |
| Model Context Protocol (MCP) Fundamentals | Hosts, clients, servers, tools, resources and prompts; JSON-RPC 2.0 messages; stdio and Streamable HTTP transports. |
| OpenAI Responses API and Agents SDK | Responses API, SDK primitives (Agent, Runner, Tool, Handoffs, Guardrails), function calling and multi-agent patterns. |
| OCI Enterprise AI Agents | Enterprise AI agent lifecycle services, Responses API, tools, memory and vector stores, deployment and scaling. |
| Agentic AI for Oracle AI Database | AI Vector Search, Select AI, Private Agent Factory and the Autonomous AI Database MCP Server. |
Oracle's published topic list for this exam does not give percentage weightings, so none are shown here.
Source: Oracle Exam Topics PDF for 1Z0-1157-26, captured July 2026.
Where candidates lose points
This is an associate-level exam, but it spans several distinct tool ecosystems in one sitting - LangChain, MCP, the OpenAI Agents SDK, and OCI Enterprise AI Agents. Most lost points come not from any single module being hard, but from mixing up which framework owns which concept, like confusing LangChain's tool-calling flow with the OpenAI Agents SDK's handoff mechanism, or MCP's client/server roles with a generic REST integration. The Oracle AI Database module is also easy to underprepare for if your background is general AI engineering rather than Oracle-specific.
Sample question
A developer wants an AI agent to discover and call tools exposed by an independently maintained service without hardcoding that service's API contract into the agent's code. Which protocol is designed specifically for this kind of interoperable tool discovery?
- A. REST API versioning
- B. Model Context Protocol (MCP)
- C. OAuth 2.0 client credentials flow
- D. GraphQL federation
Full explanations and 119 more questions like this are in the practice tests.
How long to prepare
For someone who already writes Python and has touched an LLM API before, 2-3 weeks of focused study is a reasonable target. The 60-minute, 40-question format with a 65% pass mark rewards breadth over depth, so time is better spent skimming all six modules than mastering any single framework in isolation.
